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rend-spotter

作者 huajianjiu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
126
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install rend-spotter
功能描述
Track social media trending topics and viral content across platforms in real-time
安全使用建议
This skill is vague and internally inconsistent: it promises real‑time, cross‑platform monitoring but provides no mechanism to fetch data (no API endpoints, no credential requirements, no install). Before installing or using it, ask the author for: (1) which data sources/APIs it uses, (2) whether it requires API keys or OAuth and exactly which tokens, (3) a privacy policy for any user data it accesses, and (4) a concrete runtime plan (e.g., which endpoints it will call or whether it will scrape public pages). Avoid pasting account tokens into chat; prefer explicit, minimal-scope credentials (read‑only API keys) and test the skill in a sandboxed environment. The name mismatch ('rend-spotter' vs 'trend-spotter') is a red flag worth confirming with the publisher.
功能分析
Type: OpenClaw Skill Name: rend-spotter Version: 1.0.0 The skill bundle consists only of metadata and documentation for a social media trend analysis tool. There is no executable code provided, and the instructions in SKILL.md are entirely consistent with the stated purpose of tracking trends, showing no signs of prompt injection, data exfiltration, or malicious intent.
能力评估
Purpose & Capability
The skill claims to monitor trends across major social platforms in real time, but there are no declared env vars, credentials, binaries, or install steps to access platform APIs (Twitter/X, Reddit, YouTube, etc.). That omission is inconsistent with the stated capability. Also the registry name/slug 'rend-spotter' differs from SKILL.md's 'trend-spotter', which suggests sloppy packaging or an authoring error.
Instruction Scope
SKILL.md contains only high‑level usage guidance (initialize tracking, set focus areas, analyze, generate reports) and no concrete runtime instructions, endpoints, or data sources. The instructions are vague and grant broad discretion to the agent without constraints, which could lead the agent to attempt arbitrary web access or request user credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by the skill package itself.
Credentials
No environment variables or credentials are declared. That is unexpected for a cross‑platform social media tracker (which normally requires API keys/tokens). The absence could indicate the skill expects the agent to prompt for credentials at runtime or to use unauthenticated scraping — both are noteworthy but not proof of malice.
Persistence & Privilege
The skill does not request always:true and is user‑invocable only; it does not declare any config path changes or modifications to other skills. No elevated persistence or privileged presence is requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install rend-spotter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /rend-spotter 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of trend-spotter—your real-time social media trend tracking assistant. - Monitors and analyzes trending topics and viral content across multiple social media platforms. - Offers real-time tracking, trend analysis, platform comparisons, and timing insights. - Helps identify emerging trends, content gaps, and optimal posting times. - Provides reporting features with export options and automated updates. - Designed for anyone seeking to stay ahead in content strategy and social media analytics.
元数据
Slug rend-spotter
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

rend-spotter 是什么?

Track social media trending topics and viral content across platforms in real-time. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 126 次。

如何安装 rend-spotter?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install rend-spotter」即可一键安装,无需额外配置。

rend-spotter 是免费的吗?

是的,rend-spotter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

rend-spotter 支持哪些平台?

rend-spotter 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 rend-spotter?

由 huajianjiu(@huajianjiu000)开发并维护,当前版本 v1.0.0。

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